1Z0-1127-25 Using OCI Generative AI Service Practice Question
A startup is using OCI Generative AI serverless inference for a text generation application. They notice that the latency is high during peak hours. They have a budget to increase costs moderately. Which action would most effectively reduce latency?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Switch to dedicated AI cluster.
Switching to a dedicated AI cluster provides consistent low latency compared to serverless inference. Option B is wrong because enabling content filtering does not affect latency; it is used to filter harmful content. Option C is wrong because increasing the number of concurrent requests may increase the load on the serverless infrastructure and could actually worsen latency. Option D is wrong because although using a smaller model might reduce latency, it can degrade the quality of generated text, and the dedicated cluster is a more effective solution given the budget to increase costs moderately.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Switch to dedicated AI cluster.
Why this is correct
Dedicated clusters offer predictable, low-latency inference.
- ✗
Enable content filtering.
Why it's wrong here
Content filtering adds processing time, not reducing latency.
- ✗
Increase the number of concurrent requests.
Why it's wrong here
Increasing concurrency can increase server load and worsen latency.
- ✗
Use a smaller model.
Why it's wrong here
Smaller models infer faster but may sacrifice quality.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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